Mathematical and computational modeling of head and neck cancer for personalized therapy

Abstract We present a coupled mathematical model for tumor progression and treatment-induced tissue remodeling in head and neck cancer. The framework links a reaction–diffusion equation for tumor cell density with finite-strain growth mechanics through a multiplicative decomposition of the deformation gradient. Radiation therapy enters the model as both a cytotoxic term in the kinetic equation and a remodeling stimulus altering the growth parameter. We develop the model systematically, provide nondimensionalisation, offer formal analysis including linear stability, and propose a staggered finite element scheme for numerical simulation. Numerical experiments on stylized head–neck geometries demonstrate qualitative behaviour consistent with clinical expectations and illustrate candidate model-derived indicators that may warrant future investigation as imaging biomarkers following patient-specific validation.

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Publication Details

Journal
Computational and Applied Mathematics
Published
2026-09-19
DOI
https://doi.org/10.1007/s40314-026-03860-9
Primary Topic
Mathematical Biology Tumor Growth
Type
article
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Mathematical and computational modeling of head and neck cancer for personalized therapy

José Alberto Rodrigues
Computational and Applied Mathematics
Mathematical Biology Tumor Growth
article

Mathematical and computational modeling of head and neck cancer for personalized therapy

José Alberto Rodrigues
article en

Abstract

Abstract We present a coupled mathematical model for tumor progression and treatment-induced tissue remodeling in head and neck cancer. The framework links a reaction–diffusion equation for tumor cell density with finite-strain growth mechanics through a multiplicative decomposition of the deformation gradient. Radiation therapy enters the model as both a cytotoxic term in the kinetic equation and a remodeling stimulus altering the growth parameter. We develop the model systematically, provide nondimensionalisation, offer formal analysis including linear stability, and propose a staggered finite element scheme for numerical simulation. Numerical experiments on stylized head–neck geometries demonstrate qualitative behaviour consistent with clinical expectations and illustrate candidate model-derived indicators that may warrant future investigation as imaging biomarkers following patient-specific validation.

Computational and Applied MathematicsVol. 46(2)
Instituto Politécnico de Lisboa (PT)
Good health and well-being
Openalex Percentile: Top 12%
Mathematical Biology Tumor Growth
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Mathematical and computational modeling of head and neck cancer for personalized therapy — José Alberto Rodrigues · Computational and Applied Mathematics (2026) | TGRS Research Map | TGRS